Independent staff scientists to advance the use of quantum algorithms such as Quantum Phase Estimation (QPE), Variational Quantum Eigensolver (VQE), Quantum Adiabatic Evolution & Optimization, and Quantum Machine Learning Algorithms (QML) to accelerate the discovery of new materials and molecules.
Compensation
$65,122.00 - $150,000 (salary will be assessed based on skills and experience)
Responsibilities
Quantum simulation and quantum AI algorithm tool development
Working with the AC community, including faculty and partners, to determine how quantum or quantum-inspired tools can increase the capabilities of the AC’s SDLs or materials discovery campaigns
Working independently to develop research programs that leverage the AC’s SDLs and support the research objectives of AC faculty and industry partners
Working with the AC software engineering team to create software packages to deploy quantum computational tools
Managing the research and development projects of AC’s industry partners when implemented in AC labs
Advance the use of quantum algorithms such as Quantum Phase Estimation (QPE), Variational Quantum Eigensolver (VQE), Quantum Adiabatic Evolution & Optimization, and Quantum Machine Learning Algorithms (QML) to accelerate the discovery of new materials and molecules.
Compensation
Pay Scale Group & Hiring Zone: R01 -- Research Associates (Limited Term): $55,661 - $104,364,salary will be assessed based on skills and experience
Responsibilities
Quantum simulation and quantum AI algorithm tool development
Determine how quantum or quantum-inspired tools can increase the capabilities of the AC’s SDLs or materials discovery campaigns
Develop research programs that leverage the AC’s SDLs and support the research objectives of AC faculty and industry partners
Create software packages to deploy quantum computational tools
Implementing research and development projects of AC’s industry partners when implemented in AC labs
Develop cutting‑edge quantum applications and algorithms for next‑generation quantum computers, collaborating with hardware, control and research teams to translate theory into scalable, high‑impact software.
Locations (2)
Kidlington, England, United Kingdom
Harwell, England, United Kingdom
Compensation
Competitive salary
Incentive Stock Option Plan
Generous company 10% pension contribution regardless of employee contribution
Unlimited PTO
BUPA healthcare after probation period
Cycle to work and Technology scheme
Responsibilities
Conduct R&D toward cutting‑edge advances in quantum technology with a focus on quantum applications and algorithms
Deploy software optimizations to our cloud platform Superstaq using industry‑grade software engineering procedures including documentation, linting, testing, and type‑checking
Interface with customers of Superstaq to understand their needs and support them in a timely fashion
Contribute to development of government and commercial proposals and execution on global programs
Collaborate with experimental physicists and software engineers to bridge the gap between theoretical concepts and practical implementation
Postdoctoral researcher focusing on hardware-aware quantum machine learning within Intelligent Computing Architectures at the University of Southern Denmark.
Responsibilities
Design, implement, and simulate hybrid quantum-classical learning models
Investigate effects of noise, connectivity, and resource limitations on learning performance
Conduct reproducible experimental evaluations and compare with classical baselines
Support collaboration with Danish and international partners, contribute to research proposals, funding applications, publications, technical documentation, and project reports
Requirements
PhD in Computer Science, Computer Engineering, Electrical Engineering, Quantum Computing, Machine Learning, or a closely related field
Drive Visa's research strategy at the intersection of quantum computing, AI, optimization, and financial systems.
Compensation
For roles located in the US, the estimated salary range for this position is $215,300.00 to $ 344,600.00 USD per year, which may include potential sales incentive payments (if applicable). In addition, this position may be eligible for bonus and equity.
Responsibilities
Lead research in Quantum Machine Learning, Quantum Optimization, Quantum Simulation, and Quantum AI.
Develop quantum and hybrid quantum-classical algorithms for applications including Financial forecasting and analytics, Portfolio optimization and risk management, Fraud detection, Transaction network optimization, Market simulation and scenario analysis.
Advance research in Quantum-enhanced AI and machine learning, Quantum generative models, AI-driven quantum algorithm discovery, Enterprise-scale optimization.
Evaluate and validate solutions on leading quantum computing platforms.
Identify high-impact opportunities where quantum technologies can create business value.
Requirements
Ph.D. in Computer Science, Physics, Mathematics, Engineering, Quantum Information Science, or a related field.
Nice to have: Postdoctoral experience in quantum computing and AI
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